Senior Solutions Architect, Networking – Public Sector

Remote from: USA
Salary, yearly, USD: 184,000 - 356,500
Department: Software Engineering
Employment type: Full Time,
Job posted: 11 May 2026
Apply before: 11 Jun 2026
Experience level: Senior
Views / Applies: 368 / 51

About company

About NVIDIA

NVIDIA is a leader in AI computing and graphics technology.

Computer Hardware
1993

Actively Hiring

AI Summary

NVIDIA seeks a Senior Solutions Architect for its Federal business unit to drive adoption of accelerated computing and AI in the US public sector. The role involves designing and deploying large-scale networking infrastructure, collaborating with partners, and advising government customers. Candidates need deep expertise in networking, HPC, and AI, along with strong communication skills. The position requires U.S. citizenship and offers a competitive salary range. This is a high-impact role at a leading technology company.

Job Complexity

Easy Hard

AI Insight The role demands a rare combination of deep technical expertise in networking and AI, experience with government customers, and the ability to lead complex deployments, making it extremely challenging to fill.

Salary Analysis

AI Insight The offered salary range of $184,000 to $356,500 is highly competitive for a senior solutions architect role in the public sector, with a median of $270,250 that aligns with top-tier market rates for this expertise level.

Key Skills

Solution Architecture Networking High-Performance Computing Artificial Intelligence InfiniBand Public Sector GPU Computing Customer Engagement Technical Leadership Data Center

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my strong interest in the Senior Solutions Architect, Networking - Public Sector position at NVIDIA. With over 6 years of experience in solution engineering and a deep background in high-performance networking and AI, I am excited about the opportunity to drive digital transformation for the US Federal Government.

In my previous role, I successfully led the design and deployment of large-scale HPC clusters, optimizing InfiniBand and Ethernet networks to maximize GPU performance. My ability to collaborate cross-functionally with product, engineering, and customers has consistently delivered successful outcomes.

I hold a Master's degree in Electrical Engineering and have a proven track record as a trusted advisor to government clients. I am eager to bring my technical expertise and passion for innovation to NVIDIA's mission.

Thank you for considering my application. I look forward to the possibility of contributing to your team.

Sincerely,
[Your Name]

Possible Interview Questions

Can you describe your experience designing and deploying large-scale HPC clusters with high-speed networking?

I led the deployment of a 10,000-node cluster using InfiniBand, optimizing network topology to reduce latency and improve GPU utilization. I collaborated with vendors to troubleshoot performance issues and achieved a 20% improvement in job completion times.

How do you approach working with government customers who may have strict security and compliance requirements?

I prioritize understanding their security frameworks, such as FedRAMP or IL levels, and ensure solutions meet those standards. I maintain clear communication and documentation, and I leverage my active clearance to build trust and facilitate smoother interactions.

Describe a time you had to resolve a complex technical issue involving multiple teams. What was your approach?

At a previous job, a network bottleneck was affecting cluster performance. I coordinated with the networking, storage, and application teams to isolate the issue, ran performance tests, and implemented a configuration change that resolved the problem. I documented the process for future reference.

How do you stay current with emerging technologies like NVIDIA's latest networking solutions?

I regularly attend NVIDIA GTC conferences, follow technical blogs, and participate in hands-on labs. I also experiment with new hardware in test environments to understand its capabilities and limitations.

Can you explain how network architecture impacts GPU cluster performance in AI workloads?

Network architecture directly affects data transfer times between GPUs. For example, using InfiniBand with RDMA reduces latency and increases bandwidth, which is critical for distributed training. Proper topology like fat-tree or dragonfly minimizes congestion and improves scalability.

NVIDIA’s Federal business unit is seeking a senior solution architect who is passionate about shaping an entire market and serving the US Federal Government during a period of digital transformation. The ideal candidate will have a strong technical networking background in accelerated computing technology and artificial intelligence and leverage those skills to help government programs within the US Public Sector market. They will collaborate closely with product, engineering, and federal customers to accelerate NVIDIA technology in the build to deployment of large-scale advanced networking infrastructure. A successful candidate will demonstrate skill in transcending boundaries, working effectively with product teams, account managers, field organization, and customers to drive success.

You must be a U.S. Citizen to apply for this position.

What you’ll be doing:

Working with NVIDIA Partners and OEMs in Public Sector on large data center networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.
Become the primary technical driver for customers during the design, development, construction, integration, and production of networking infrastructure and applications throughout the entire customer lifecycle.
Work as the customer’s trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.
Analyze and debug compute/network configuration and performance issues to deliver performant clusters.
Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
Educate C-Suite-level decision-makers about the benefits of AI and enhanced computing performance.
Handle communication with customers and NVIDIA Management.
Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.
Ability to travel ~20%.

What we need to see:

The position requires competence in resolving complex multidisciplinary problems. They will often be responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions to the customer.

BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience.
6+ years supporting Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
Strong interpersonal skills and the ability to work directly with customers.
Subject Matter Expertise (SME) in High-Performance Computing, or Networking
Critical thinking capability, as well as concisely communicate vision (both written and verbal) and engage in cross-functional collaboration.

Ways to stand out from the crowd:

Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager. Experience building and/or integration artificial intelligence solutions.
Experience with bring up and deployment of large HPC clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance.
Experience working with enterprise developers and strong customer-facing skills.
Active Security Clearance is highly desirable.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD for Level 4, and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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